eda-preflight-reflectlisted

# EDA Preflight Reflect Run this skill before submitting new experiment batches. ## Step 1: Evidence lock (no guess mode) Collect latest artifacts first: 1. case-level summary TSV/MD (`*.case.tsv`, `*.summary.md`) 2. route evidence (`backside_reroute.rpt`, routed DEF layer occupancy) 3. timing delta evidence (WNS/TNS/violating paths) 4. internet/primary-source references for current assumptions (routing policy, CTS/PDN layer practice, etc.) If evidence is missing, mark `insufficient_evidence` and stop optimization claims. ## Step 2: Reflection checklist Evaluate these checks explicitly: 1. `backside_presence`: Are there real backside nets in routed geometry? 2. `long_net_capture`: Is backside mostly capturing long nets above crossover threshold? 3. `timing_consistency`: Does increased backside usage improve or at least not hurt timing? 4. `capacity_pressure`: Are nTSV/backside regions overused (pressure likely distorting routing)? 5. `policy_vs_model`: Is behavior likely route-policy dominated rather than model-driven? Use `references/checklist.md` and output pass/fail per item. ## Step 3: Produce one preflight reflection artifact Generate one markdown before any new run: - root cause ranking (top 3) - one-line hypothesis per root cause - one minimal A/B/C plan for next run - explicit acceptance criteria Recommended helper script: ```bash python3 scripts/debug/pre_experiment_reflection.py --case-tsv <case.tsv> --out-prefix <out_prefix> ``` ## Step 4: Model-gap decisio